Data Science Use Cases for Lifestyle Banking
Aus International Center for Computational Logic
Data Science Use Cases for Lifestyle Banking
Vortrag von Boontawee (Meng) Suntisrivaraporn
- Veranstaltungsort: APB 3027
- Beginn: 25. April 2019 um 13:00
- Ende: 25. April 2019 um 14:30
- Forschungsgruppe: Automatentheorie
- Event series: KBS Seminar
- iCal
Abstract:
Traditional banking concerns itself with risk understanding, credit underwriting, cash need, liquidity, etc. Data science and machine learning have proved useful in banking businesses to mitigate risk while targeting the right customers with cash need. In this talk, we will explore a lifestyle side of banking that goes beyond the traditional realm and delves more into alternative signals to customers needs. We will see example data science use cases that have been successfully implemented in banking business at Siam Commercial Bank.
